IDENTIFICATION OF HYSTERETIC SYSTEMS USING THE DIFFERENTIAL EVOLUTION ALGORITHM

✍ Scribed by A. KYPRIANOU; K. WORDEN; M. PANET

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 548 KB
• Volume: 248
• Category: Article
• ISSN: 0022-460X
• DOI: 10.1006/jsvi.2001.3798

✦ Synopsis

A widely used model in the "eld of hysteretic or memory-dependent vibrations is that of Bouc and Wen. Di!erent parameter values extend its use to various areas of mechanical vibrations. As a consequence an identi"cation method is required to identify the parameter values relevant to its application. Its structure, however, includes internal states and non-linear terms. This rules out the conventional identi"cation methods, such as least squares and maximum likelihood because they require derivative calculations of the prediction error with respect to the parameters. In this paper are presented some results for Bouc}Wen model identi"cation, using simulated noise-free data, simulated noisy data and experimental data obtained from a nuclear power plant. The method used to achieve this is the di!erential evolution algorithm. Di!erential evolution (DE) is an optimization method developed to perform direct search in a continuous parameter space without requiring any derivative estimation.

2001 Academic Press